Scala + Kafka Data Engineer

Job description

**Role :**Scala + Kafka Data Engineer Exp range: 6-10 years Locations: Chennai, Bengaluru, Hyderabad, Pune, Kochi, Kolkata, NCR/Delhi Virtual Interview: 08-Aug-26 We are looking for a skilled **Scala + Kafka Data Engineer** to design, develop, and maintain scalable data processing and streaming solutions. The ideal candidate should have strong expertise in Scala, Apache Kafka, distributed data processing, and big data technologies to support enterprise-scale data platforms. **Key Responsibilities** - Design, develop, and maintain high-performance data pipelines using **Scala** and **Apache Kafka**. - Build and optimize real-time and batch data processing solutions. - Develop scalable data ingestion, transformation, and streaming frameworks. - Work closely with data architects, business stakeholders, and engineering teams to deliver data-driven solutions. - Ensure data quality, reliability, and performance across data platforms. - Troubleshoot and resolve issues related to data processing, streaming, and system performance. - Implement best practices for coding, testing, monitoring, and deployment. - Collaborate with DevOps teams for CI/CD and platform automation. **Required Skills** - 6-10 years of experience in Data Engineering. - Strong hands-on expertise in **Scala** and **Apache Kafka**. - Experience with distributed data processing frameworks such as **Spark**. - Strong knowledge of real-time streaming architectures and event-driven systems. - Experience working with SQL and NoSQL databases. - Knowledge of microservices architecture and REST APIs. - Experience with cloud platforms (**AWS, Azure, or GCP**). - Familiarity with Docker, Kubernetes, and CI/CD practices. - Strong analytical and problem-solving skills. **Preferred Skills** - Experience with Apache Spark Streaming, Kafka Streams, or Flink. - Exposure to Data Lake and Data Warehouse technologies. - Experience with big data ecosystems and modern data platforms. - Knowledge of data governance and data quality frameworks. ***If you are interested in this opportunity and available to attend the virtual interview on 8th August, kindly apply at the earliest.*** ***Post receiving your application, I will connect with you for data collection and discuss the further steps in the hiring process***